Dr. Marius Tico
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SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (6)

PROCEEDINGS ARTICLE | September 8, 2010
Proc. SPIE. 7798, Applications of Digital Image Processing XXXIII
KEYWORDS: Mobile devices, Image visualization, Facial recognition systems, Visualization, Sensors, Image segmentation, Video, Photography, Computer programming, Digital imaging

PROCEEDINGS ARTICLE | February 27, 2008
Proc. SPIE. 6821, Multimedia on Mobile Devices 2008
KEYWORDS: Mobile devices, Human-machine interfaces, Facial recognition systems, Cameras, Image processing, Video, Image resolution, Panoramic photography, Motion estimation, Mobile communications

PROCEEDINGS ARTICLE | February 28, 2007
Proc. SPIE. 6498, Computational Imaging V
KEYWORDS: MATLAB, Cell phones, Detection and tracking algorithms, Cameras, Video, Distortion, Image registration, Motion detection, Image quality, Panoramic photography

PROCEEDINGS ARTICLE | February 20, 2007
Proc. SPIE. 6502, Digital Photography III
KEYWORDS: Signal to noise ratio, Point spread functions, Cameras, Image processing, Image registration, Image filtering, Deconvolution, Motion models, Motion measurement, Motion estimation

SPIE Journal Paper | January 1, 2003
JEI Vol. 12 Issue 01
KEYWORDS: Data centers, Error analysis, Distance measurement, Phase modulation, Signal processing, Hough transforms, Data modeling, Electronics, Telecommunications, Computer engineering

PROCEEDINGS ARTICLE | April 27, 2001
Proc. SPIE. 4303, Real-Time Imaging V
KEYWORDS: Sun, Databases, Image segmentation, Image processing, Scanners, Skin, Feature extraction, Image enhancement, Binary data, Ridge detection

Showing 5 of 6 publications
Conference Committee Involvement (3)
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
10 February 2015 | San Francisco, California, United States
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014
3 February 2014 | San Francisco, California, United States
Multimedia on Mobile Devices 2013
4 February 2013 | Burlingame, California, United States
Course Instructor
SC1021: Mobile Computational Photography
This course explains mobile computational photography and how it differs from traditional off-line computational photography. In mobile computational photography the camera sensor, display, a computational unit, and devices (such as lens, flash, and sensors including accelerometers or gyroscopes) work jointly with a user in an interactive loop, where several images are taken quickly with changing camera parameters. A mobile computational photography system then creates in real- or near-real-time new images that could not have been obtained from a single shot camera. Examples include high dynamic range (HDR) and panoramic photography. In this course we explain the typical image processing pipeline from the image sensor, through the image signal processor to images that can be displayed and stored. We also present the FCam architecture for precise, deterministic, and fast camera control, which is key for many computational photography tasks. We describe several algorithms such as denoising, demosaicking, auto-focusing, auto-exposure, and auto-whitebalance, and how some of them need to be modified for burst photography as they were originally developed for single-image photography. Finally, we discuss various tools available for image processing: both in the form of libraries and domain specific programming languages.
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